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Partner selection of agricultural products supply chain based on data mining

机译:基于数据挖掘的农产品供应链合作伙伴选择

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摘要

Now, with the development of modern business, the traditional competition between enterprises has been displaced by the competition between supply chains. Any incorrect decision from supply chain member may have negative influences on other members or the whole supply chain. Therefore, choosing the appropriate supply chain partners is quite necessary and significant to the supply chain performance improvement because the partners can share risks and benefits with proper contract. Concentrating on the agricultural products supply chain, the supply chain partner selection model and indexes system are put forward in this paper, the clustering and classification analyses of potential supply chain partners are made by data mining technology, and the empirical analysis is made for agricultural products supply chain. This study may provide some insights into supply chain longitudinal governance and guidance for the Chinese agriculture economic development. Copyright © 2015 John Wiley & Sons, Ltd.
机译:如今,随着现代企业的发展,企业之间的传统竞争已被供应链之间的竞争所取代。供应链成员的任何错误决定都可能对其他成员或整个供应链产生负面影响。因此,选择合适的供应链合作伙伴对于改善供应链绩效非常必要且很重要,因为合作伙伴可以通过适当的合同分担风险和收益。重点针对农产品供应链,提出了供应链伙伴选择模型和指标体系,利用数据挖掘技术对潜在供应链伙伴进行了聚类和分类分析,并对农产品进行了实证分析。供应链。这项研究可以为中国农业经济发展的供应链纵向治理和指导提供一些见识。版权所有©2015 John Wiley&Sons,Ltd.

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